Parsing API
Automatically turn your HR documents to structured data
Shorten applicants forms, improve data records and save your end-user time.
Join 1,000+ businesses on HrFlow.ai
Meet the world’s most
advanced HR Data parser
We combined cutting edge Deep Computer Vision and Deep Natural Language
Processing algorithms to turn even the most complex HR documents to data.
Multiple Languages
Supports 32+ languages.
State-of-the-art Recognition
A context awareness approach for a state-of-the-art data extraction.
All Extensions
Extract data from all media formats PDF, DOCX, PNG, JPEG and more.
Text Recognition (OCR)
Home-made OCR specialized in HR documents.
Image processing
Layout analysis of complex documents with Deep computer vision optimizations.
Document splitting
Automatic split of large files to multiple resumes.
Document classification
Automatic classification of documents to resumes, cover letters and other categories.
Orientation Correction
Automatic document orientation correction.
Perspective Correction
Automatic perspective correction and precision cropping.
Over 40+ unique data points
Detailed features
Category
Attributes
Description
Example
info
First Name
First name
Jon
info
Last Name
Last name
Doe
info
Full Name
Full name
Jon Doe
info
Phone
Phone, Mobile or Fax number
+33 1 82 88 35 65
info
Location Text
Location address
7 rue 4 septembre, 75002, Paris, France
info
Location Latitude
Location latitude
48.8705093
info
Location Longitude
Location longitude
2.3314779
info
Location Geocoder
Location geocoder info
Geocoder object
info
Email
Email
contact@riminder.net
info
Birth date
Date of birth
26/11/1991
info
Driving Licence
Driving licence
permis B
experience education info
Date Start
Starting date
2016
experience education info
Date End
Ending date
2020
experience
Company
Company Name
HrFlow.ai
experience
Title
Job title
Data Scientist
experience
Location Text
Location address of the experience.
2627 Hanover St, Palo Alto, CA 94304, États-Unis
experience
Location Latitude
Location latitude of the experience
37.4180666
experience
Location Longitude
Location longitude of the experience.
-122.1486833
experience
Location Geocoder
Location geocoder info of the experience
Geocoder object
experience
Description
Description section of the experience
Solving unemployment with Deep Learning
education
School
School or Institution of the Education
Stanford University
education
Title
Degree
Applied Mathematics
experience
Location Text
Location address of the experience.
450 Serra Mall, Stanford, CA 94305, United States
education
Location Latitude
Location latitude of the education
11.1384724
education
Location Longitude
Location longitude of the education
-137.8396479
education
Location Geocoder
Location geocoder info of the education
Geocoder object
education
Description
Description section of the education
CS231n: Convolutional Neural Networks for Visual Recognition
skills
Hard Skills
List of hard skills
Machine Learning, C++
skills
Soft Skills
List of soft skills
Creativity, Leadership, Analysis
languages
Languages
List of languages
English, French, Chineese
interests
Languages
Interests
Chess, Football, Cinema
32+
Languages
Scale up globally
40+
Data points
Make data strategic
>96%
Accuracy
Leverage state-of-the-art AI
Trusted by HCM companies and forward-thinking HR leaders
Explore what our clients say
100%
focus on interviews
with candidates
100%
cut in manual
processing time
photo
Nicolas POUCHAIN
« With real-time integrated parsing capability in our web app, we can finally handle paper resumes at career fairs while increasing our productivity and lowering our operational costs. »
Works with the tools you use
A no brainer
Parsing
TextKernel
Sovren
Hireability
Daxtra
HrFlow.ai
Multilingual
Entities
Recognation
Naming rules,
keywords
Naming rules,
keywords
Naming rules,
keywords
Naming rules,
keywords
Context awareness,
Semantics
Input Format
Word, PDF
Word, PDF
Word, PDF
Word, PDF
Word, PDF, Image,
More
Image processing
Document
Splitting
Document
Classification
Resume, cover,
other
Orientation
Correction
Perspective
Correction

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